ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2105.00470
  4. Cited By
On Feature Decorrelation in Self-Supervised Learning

On Feature Decorrelation in Self-Supervised Learning

2 May 2021
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
    SSL
    OOD
ArXivPDFHTML

Papers citing "On Feature Decorrelation in Self-Supervised Learning"

26 / 126 papers shown
Title
Virtual embeddings and self-consistency for self-supervised learning
Virtual embeddings and self-consistency for self-supervised learning
T. Bdair
Hossam Abdelhamid
Nassir Navab
Shadi Albarqouni
SSL
16
0
0
13 Jun 2022
An Empirical Study on Disentanglement of Negative-free Contrastive
  Learning
An Empirical Study on Disentanglement of Negative-free Contrastive Learning
Jinkun Cao
Ruiqian Nai
Qing Yang
Jialei Huang
Yang Gao
CoGe
DRL
25
9
0
09 Jun 2022
Spatial Entropy as an Inductive Bias for Vision Transformers
Spatial Entropy as an Inductive Bias for Vision Transformers
E. Peruzzo
E. Sangineto
Yahui Liu
Marco De Nadai
Wei Bi
Bruno Lepri
N. Sebe
ViT
MDE
31
1
0
09 Jun 2022
Beyond Just Vision: A Review on Self-Supervised Representation Learning
  on Multimodal and Temporal Data
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data
Shohreh Deldari
Hao Xue
Aaqib Saeed
Jiayuan He
Daniel V. Smith
Flora D. Salim
AI4TS
30
37
0
06 Jun 2022
Siamese Image Modeling for Self-Supervised Vision Representation
  Learning
Siamese Image Modeling for Self-Supervised Vision Representation Learning
Chenxin Tao
Xizhou Zhu
Weijie Su
Gao Huang
Bin Li
Jie Zhou
Yu Qiao
Xiaogang Wang
Jifeng Dai
SSL
40
94
0
02 Jun 2022
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global
  and Local Spectral Embedding Methods
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero
Yann LeCun
SSL
18
129
0
23 May 2022
The Mechanism of Prediction Head in Non-contrastive Self-supervised
  Learning
The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning
Zixin Wen
Yuanzhi Li
SSL
27
34
0
12 May 2022
Improving genetic risk prediction across diverse population by
  disentangling ancestry representations
Improving genetic risk prediction across diverse population by disentangling ancestry representations
P. Gyawali
Yann Le Guen
Xiaoxia Liu
Hua Tang
J. Zou
Zihuai He
12
7
0
10 May 2022
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
Yung-Sung Chuang
Rumen Dangovski
Hongyin Luo
Yang Zhang
Shiyu Chang
M. Soljavcić
Shang-Wen Li
Wen-tau Yih
Yoon Kim
James R. Glass
38
220
0
21 Apr 2022
Contrasting the landscape of contrastive and non-contrastive learning
Contrasting the landscape of contrastive and non-contrastive learning
Ashwini Pokle
Jinjin Tian
Yuchen Li
Andrej Risteski
SSL
30
28
0
29 Mar 2022
Improving Contrastive Learning with Model Augmentation
Improving Contrastive Learning with Model Augmentation
Zhiwei Liu
Yong-Guang Chen
Jia Li
Man Luo
Philip S. Yu
Caiming Xiong
28
11
0
25 Mar 2022
On Understanding and Mitigating the Dimensional Collapse of Graph
  Contrastive Learning: a Non-Maximum Removal Approach
On Understanding and Mitigating the Dimensional Collapse of Graph Contrastive Learning: a Non-Maximum Removal Approach
Jiawei Sun
Ruoxin Chen
Jie Li
Chentao Wu
Yue Ding
Junchi Yan
29
0
0
24 Mar 2022
Crafting Better Contrastive Views for Siamese Representation Learning
Crafting Better Contrastive Views for Siamese Representation Learning
Xiang Peng
Kai Wang
Zheng Hua Zhu
Mang Wang
Yang You
SSL
28
102
0
07 Feb 2022
Exploring the Equivalence of Siamese Self-Supervised Learning via A
  Unified Gradient Framework
Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework
Chenxin Tao
Honghui Wang
Xizhou Zhu
Jiahua Dong
S. Song
Gao Huang
Jifeng Dai
SSL
38
60
0
09 Dec 2021
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class
  Incremental Learning
Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning
Yujun Shi
Kuangqi Zhou
Jian Liang
Zihang Jiang
Jiashi Feng
Philip H. S. Torr
Song Bai
Vincent Y. F. Tan
CLL
28
62
0
09 Dec 2021
Towards the Generalization of Contrastive Self-Supervised Learning
Towards the Generalization of Contrastive Self-Supervised Learning
Weiran Huang
Mingyang Yi
Xuyang Zhao
Zihao Jiang
SSL
21
106
0
01 Nov 2021
Understanding Dimensional Collapse in Contrastive Self-supervised
  Learning
Understanding Dimensional Collapse in Contrastive Self-supervised Learning
Li Jing
Pascal Vincent
Yann LeCun
Yuandong Tian
SSL
25
338
0
18 Oct 2021
Towards Demystifying Representation Learning with Non-contrastive
  Self-supervision
Towards Demystifying Representation Learning with Non-contrastive Self-supervision
Xiang Wang
Xinlei Chen
S. Du
Yuandong Tian
SSL
21
26
0
11 Oct 2021
Computer Vision Self-supervised Learning Methods on Time Series
Computer Vision Self-supervised Learning Methods on Time Series
Daesoo Lee
Technology
AI4TS
31
4
0
02 Sep 2021
From Canonical Correlation Analysis to Self-supervised Graph Neural
  Networks
From Canonical Correlation Analysis to Self-supervised Graph Neural Networks
Hengrui Zhang
Qitian Wu
Junchi Yan
David Wipf
Philip S. Yu
SSL
22
211
0
23 Jun 2021
Efficient Training of Visual Transformers with Small Datasets
Efficient Training of Visual Transformers with Small Datasets
Yahui Liu
E. Sangineto
Wei Bi
N. Sebe
Bruno Lepri
Marco De Nadai
ViT
36
164
0
07 Jun 2021
Momentum Contrastive Voxel-wise Representation Learning for
  Semi-supervised Volumetric Medical Image Segmentation
Momentum Contrastive Voxel-wise Representation Learning for Semi-supervised Volumetric Medical Image Segmentation
Chenyu You
Ruihan Zhao
Lawrence H. Staib
James S. Duncan
SSL
40
106
0
14 May 2021
Understanding self-supervised Learning Dynamics without Contrastive
  Pairs
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian
Xinlei Chen
Surya Ganguli
SSL
138
281
0
12 Feb 2021
BYOL works even without batch statistics
BYOL works even without batch statistics
Pierre Harvey Richemond
Jean-Bastien Grill
Florent Altché
Corentin Tallec
Florian Strub
...
Samuel L. Smith
Soham De
Razvan Pascanu
Bilal Piot
Michal Valko
SSL
250
114
0
20 Oct 2020
Out-of-distribution Generalization via Partial Feature Decorrelation
Out-of-distribution Generalization via Partial Feature Decorrelation
Xin Guo
Zhengxu Yu
Chao Xiang
Zhongming Jin
Jianqiang Huang
Deng Cai
Xiaofei He
Xiansheng Hua
OODD
OOD
10
0
0
30 Jul 2020
Improved Baselines with Momentum Contrastive Learning
Improved Baselines with Momentum Contrastive Learning
Xinlei Chen
Haoqi Fan
Ross B. Girshick
Kaiming He
SSL
267
3,371
0
09 Mar 2020
Previous
123